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Proceedings Paper

Multi-input multi-output waveform optimization for synthetic aperture sonar
Author(s): Melissa Marchand; Wen Huang; Kyle A. Gallivan; Bradley Marchand
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Paper Abstract

The important part to any multi-input and multi-output (MIMO) system is the set of signals. These signals must be designed so that they can be simultaneously transmitted and received with minimal signal-to-signal interference and low spatial ambiguity. In addition, the signals must adhere to strict time and bandwidth constraints. To achieve this, we use the prolate spheroidal wave functions (PSWFs) as the basis functions for the approximate signals. Then, we define a cost function on the oblique manifold and use known Riemannian steepest descent to find the coefficients of the signals so that the output signals satisfy the MIMO design criteria.

Paper Details

Date Published: 3 May 2016
PDF: 12 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 98231X (3 May 2016); doi: 10.1117/12.2229054
Show Author Affiliations
Melissa Marchand, Florida State Univ. (United States)
Wen Huang, Catholic Univ. of Louvain (Belgium)
Kyle A. Gallivan, Florida State Univ. (United States)
Bradley Marchand, Naval Surface Warfare Ctr. Panama City Div. (United States)


Published in SPIE Proceedings Vol. 9823:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Steven S. Bishop; Jason C. Isaacs, Editor(s)

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